matlabmoni

(有源代码)数值分析作业,本文主要包括两个部分,第一部分是常微分方程(ODE)的三个实验题,第二部分是有关的拓展讨论,包括高阶常微分的求解和边值问题的求解(BVP).文中的算法和算例都是基于Matlab计算的.ODE问题从刚性(STIFFNESS)来看分为非刚性的问题和刚性的问题,刚性问题(如大系数的VDP方程)用通常的方法如ODE45来求解,效率会很低,用ODE15S等,则效率会高多了.而通常的非刚性问题,用ODE45来求解会有很好的效果.从阶次来看可以分为高阶微分方程和一阶常微分方程,高阶的微分方程一般可以化为状态空间(STATE SPACE)的低阶微分方程来求解.从微分方程的性态看来,主要是微分方程式一阶导系数大的时候,步长应该选得响应的小些.或者如果问题的性态不是太好估计的话,用较小的步长是比较好的,此外的话Adams多步法在小步长的时候效率比R-K(RUNGE-KUTTA)方法要好些,而精度也高些,但是稳定区间要小些.从初值和边值来看,也是显著的不同的.此外对于非线性常微分方程还有打靶法,胞映射方法等.而对于微分方程稳定性的研究,则诸如相平面图等也是不可缺少的工具.值得提出的是,除了用ode系类函数外,用simulink等等模块图来求解微分方程也是一种非常不错的方法,甚至是更有优势的方法(在应用的角度来说).((Source code) numerical analysis homework, this docment includes two parts, the first is ordinary differential equations (ODE) of the three examples, the second part is about the expansion of the discussion, including the higher-order ordinary differential & boundary value solution Problems (BVP). the text of the algorithm and numerical examples are based on the Matlab. ODE from the rigid (STIFFNESS) look into the issue of non-rigid and rigid problem, rigid problems (such as large coefficient VDP equation) such as using the always method ODE45 used to solve the problems , efficiency will be low, with ODE15S the other hand, many of the high efficiency. and the usual problem of non-rigid, there will be used to solve ODE45 very good results. Judging from the order can be for high-order differential equations and first-order ordinary differential equations, higher-order differential equations can be transformed into a general state space (STATE SPACE) used to solve the low-order different)

文件包含现代信号处理的常用算法的matlab源代码(File contains commonly used algorithm modern signal processing matlab source code)

matlab自适应消噪源代码,已通过编译,可运行.(Matlab Adaptive Noise Cancellation source code, compile, run.)

旅行商问题（Travelling Salesman Problem, 简记TSP):假设有一个旅行商人要拜访n个城市，他必须选择所要走的路径，路经的限制是每个城市只能拜访一次，而且最后要回到原来出发的城市。路径的选择目标是要求得的路径路程为所有路径之中的最小值。 此处使用蚁群算法求解TSP问题(Suppose a business trip to visit n cities, he must choose the path to go, pass through the restriction is to visit each city only once, and finally go back to the original departure city. Path selection objective is to get the path distance to the minimum value among all paths.Here,we use the procedure of ant colony algorithm to work out the TSP.)

说明：  数值随机化算法计算圆周率，面积法投点计算，利用matlab，绘出不同投点下的计算结果(Randomized algorithm to calculate the value of pi, cast-point calculation of area method, using matlab, plot points under different investment results)

数字识别基于MATLAB的数字识别系统的研究与实现(Digital Identification)

最优化方法：修正牛顿法反演粒度分布。是粒度反演算法的核心。(Fraunhofer diffraction of light intensity calculation, according to particle size, wavelength, calculated prior to the distribution of diffraction intensity.)

，建立车体6个自由度加上前轮转向系统1个自由度的汽车数学模型；该汽车数学模型不需引入很多的人为假设；可以实现给定汽汽车前轮转角，也可以不给定前轮转角；不依赖需要复杂测定的侧向力函数及相关模型参数；考虑了轮胎的滚动特性 已通过测试。 (Vehicle mathematical model of one degree of freedom, the establishment of the body' s six degrees of freedom coupled with front-wheel steering system mathematical model of the car does not need to introduce a lot of people assume front wheel angle can be achieved given steam can also be given front wheel angle does not depend on the complex determination of the lateral force function and model parameters consider rolling characteristics of the tire has been tested.)

关于OSTBC的天线选择，采用天线选择的Alamouti STBC方案，比较BER性能，由仿真图能得出天线选择方法能够提供比预编码更多的增益。(About OSTBC antenna selection, antenna selection scheme using Alamouti STBC, compare the BER performance, can be reached by a simulation diagram antenna selection method can provide more than pre-coding gain.)

SIMULINK仿真模块 EKF算法扩展卡尔曼滤波 有仿真模块有对应s函数模块算法(simulink extended kalman filter)